A quantification-based method for the estimation of algorithmic fairness
ql4facct is a software for replicating experiments concerning the evaluation of estimators of classifier "fairness".
Main Characteristic
This repository makes available baseline systems used in literature, along with our proposed framework based on quantification. The experiments implemented in this software show, through four different experimental protocols and with the aid of visualization tools, that estimating classifier fairness via quantification yields a clear advantage with respect to the previous state-of-the-art.
Technical Categories
Machine learning
Last updated
26.02.2024 - 10:58